Correlation Between DS Smith and Bank of Georgia
Can any of the company-specific risk be diversified away by investing in both DS Smith and Bank of Georgia at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining DS Smith and Bank of Georgia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DS Smith PLC and Bank of Georgia, you can compare the effects of market volatilities on DS Smith and Bank of Georgia and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in DS Smith with a short position of Bank of Georgia. Check out your portfolio center. Please also check ongoing floating volatility patterns of DS Smith and Bank of Georgia.
Diversification Opportunities for DS Smith and Bank of Georgia
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SMDS and Bank is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding DS Smith PLC and Bank of Georgia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of Georgia and DS Smith is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on DS Smith PLC are associated (or correlated) with Bank of Georgia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of Georgia has no effect on the direction of DS Smith i.e., DS Smith and Bank of Georgia go up and down completely randomly.
Pair Corralation between DS Smith and Bank of Georgia
Assuming the 90 days trading horizon DS Smith is expected to generate 1.22 times less return on investment than Bank of Georgia. But when comparing it to its historical volatility, DS Smith PLC is 1.2 times less risky than Bank of Georgia. It trades about 0.08 of its potential returns per unit of risk. Bank of Georgia is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 227,020 in Bank of Georgia on September 19, 2024 and sell it today you would earn a total of 247,980 from holding Bank of Georgia or generate 109.23% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
DS Smith PLC vs. Bank of Georgia
Performance |
| Timeline |
| DS Smith PLC |
| Bank of Georgia |
DS Smith and Bank of Georgia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DS Smith and Bank of Georgia
The main advantage of trading using opposite DS Smith and Bank of Georgia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DS Smith position performs unexpectedly, Bank of Georgia can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bank of Georgia will offset losses from the drop in Bank of Georgia's long position.| DS Smith vs. JB Hunt Transport | DS Smith vs. United Airlines Holdings | DS Smith vs. Ashtead Technology Holdings | DS Smith vs. Vitec Software Group |
| Bank of Georgia vs. Samsung Electronics Co | Bank of Georgia vs. Samsung Electronics Co | Bank of Georgia vs. Hyundai Motor | Bank of Georgia vs. Toyota Motor Corp |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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